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TensorFlow Lite converter

The TensorFlow Lite converter takes a TensorFlow model represented as a concrete function, and generates a TensorFlow Lite FlatBuffer file (.tflite).

Device deployment

The TensorFlow Lite FlatBuffer file is then deployed to a client device (e.g. mobile, embedded) and run locally using the TensorFlow Lite interpreter. This conversion process is shown in the diagram below:

TFLite converter workflow

Converting models

The TensorFlow Lite converter can be used from the Python API. Using the Python API makes it easier to convert models as part of a model development pipeline and helps mitigate compatibility issues early on.